Numpy-in-Python

Numpy helps to create arrays,matrix functions like arange, linspace,zeros,ones,eyes, sqrt,unique & random can be used.

import numpy as np

#for creating vectors Vec=np.array([1,2,3,4,5,6,7,8,9,10,11]) print(Vec)

#for creating matrix Matrix= np.array([[1,2,3], [4,5,6],[7,8,9]]) print (Matrix)

#transpose of matrix print(Matrix.T)

#find out sqaureroot of 99900 x=np.sqrt(99900) print(x)

#functions for arrays

#arange- 1st no. is included but not the last one. vec1=np.arange(0,300) print(vec1)

#linspace:- linear spacing where both 1st and last is inclusive vec3=np.linspace(0,20,10) print(vec3)

#reshape- it reshapes the vector into matrix vec3.reshape(5,2)

#to make one and zero matrix

mat2=np.zeros([4,4]) print(mat2)

mat3=np.ones([5,5]) print(mat3)

#identity matrix mat5=np.eye(6) print(mat5)

addition, substraction, multiplication and division of vectors (of same size)

vec1=np.arange(1,6) print(vec1) vec2=np.arange(5,10) print(vec2) vec1+vec2 vec1-vec2 vec1/vec2 vec1*vec2

#to find out unique value in array vec7=np.array(["orange","red","1","purple","raksha","orange","rice"]) print(vec7)

print(np.unique(vec7))

#to generate random variable in matrix form rand_mat=np.random.rand(10,10) print(rand_mat)

#mean,max,min of matrix z=np.mean(rand_mat) print(z)

np.max(rand_mat)

np.min(rand_mat)